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HBF MU-MIMO with Interference-Aware Beam Pair Link Allocation for Beyond-5G mm-Wave Networks (2402.17573v1)

Published 27 Feb 2024 in cs.NI and eess.SP

Abstract: Hybrid beamforming (HBF) multi-user multiple-input multiple-output (MU-MIMO) is a key technology for unlocking the directional millimeter-wave (mm-wave) nature for spatial multiplexing beyond current codebook-based 5G-NR networks. In order to suppress co-scheduled users' interference, HBF MU-MIMO is predicated on having sufficient radio frequency chains and accurate channel state information (CSI), which can otherwise lead to performance losses due to imperfect interference cancellation. In this work, we propose IABA, a 5G-NR standard-compliant beam pair link (BPL) allocation scheme for mitigating spatial interference in practical HBF MU-MIMO networks. IABA solves the network sum throughput optimization via either a distributed or a centralized BPL allocation using dedicated CSI reference signals for candidate BPL monitoring. We present a comprehensive study of practical multi-cell mm-wave networks and demonstrate that HBF MU-MIMO without interference-aware BPL allocation experiences strong residual interference which limits the achievable network performance. Our results show that IABA offers significant performance gains over the default interference-agnostic 5G-NR BPL allocation, and even allows HBF MU-MIMO to outperform the fully digital MU-MIMO baseline, by facilitating allocation of secondary BPLs other than the strongest BPL found during initial access. We further demonstrate the scalability of IABA with increased gNB antennas and densification for beyond-5G mm-wave networks.

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References (36)
  1. M. Xiao et al., “Millimeter wave communications for future mobile networks,” IEEE J. Sel. Areas Commun., vol. 35, no. 9, 2017.
  2. “5G; NR; User Equipment (UE) radio transmission and reception; Part 2: Range 2 Standalone,” 3GPP TS 38.101-2 V15.5.0, 2019.
  3. M. Giordani et al., “A tutorial on beam management for 3GPP NR at mmWave frequencies,” IEEE Commun. Surveys Tuts., vol. 21, no. 1, 2019.
  4. Y. Heng et al., “Six key challenges for beam management in 5.5G and 6G systems,” IEEE Commun. Mag., vol. 59, no. 7, 2021.
  5. S. Segan. (2019) Here’s the real truth about Verizon’s 5G network. PC Mag Digital Group. [Online]. Available: https://www.pcmag.com/news/367659/heres-the-real-truth-about-verizons-5g-network
  6. GSMA, “5G mmWave deployment best practices whitepaper,” White Paper, Nov. 2022. [Online]. Available: https://www.gsma.com/futurenetworks/resources/5g-mmwave-deployment-best-practices-whitepaper/
  7. S. Kutty and D. Sen, “Beamforming for millimeter wave communications: An inclusive survey,” IEEE Commun. Surveys Tuts., vol. 18, no. 2, 2016.
  8. “5G; Study on new radio access technology,” 3GPP, Tech. Rep., Oct. 2017.
  9. Ericsson, “Massive MIMO handbook, Technology primer,” Tech. Rep., 2023. [Online]. Available: https://www.ericsson.com/en/ran/massive-mimo
  10. K. Hassan, M. Masarra, M. Zwingelstein, and I. Dayoub, “Channel estimation techniques for millimeter-wave communication systems: Achievements and challenges,” IEEE Open J. Commun. Soc., vol. 1, 2020.
  11. R. W. Heath et al., “An overview of signal processing techniques for millimeter wave MIMO systems,” IEEE J. Sel. Topics Signal Process., vol. 10, no. 3, 2016.
  12. M. N. Kulkarni, A. Ghosh, and J. G. Andrews, “A comparison of MIMO techniques in downlink millimeter wave cellular networks with hybrid beamforming,” IEEE Trans. Commun, vol. 64, no. 5, 2016.
  13. A. Alkhateeb, G. Leus, and R. W. Heath, “Limited feedback hybrid precoding for multi-user millimeter wave systems,” IEEE Trans. Wireless Commun, vol. 14, no. 11, 2015.
  14. F. Gómez-Cuba et al., “Hybrid beamforming in 5G mmWave networks: A full-stack perspective,” IEEE Trans. Wireless Commun, vol. 21, no. 2, 2022.
  15. S. Sun, T. S. Rappaport, and M. Shaft, “Hybrid beamforming for 5G millimeter-wave multi-cell networks,” in Proc. IEEE INFOCOM Workshops, Honolulu, USA, Apr. 2018.
  16. S. Sun, T. S. Rappaport, M. Shafi, and H. Tataria, “Analytical framework of hybrid beamforming in multi-cell millimeter-wave systems,” IEEE Trans. Wireless Commun, vol. 17, no. 11, 2018.
  17. Z. Sha, S. Chen, and Z. Wang, “Near interference-free space-time user scheduling for mmwave cellular network,” IEEE Trans. Wireless Commun., vol. 21, no. 8, 2022.
  18. Z. Sha, Y. Ming, C. Sun, and Z. Wang, “Versatile resource management for millimeter-wave cellular network: Near interference-free scheduling methodology,” IEEE Trans. Veh. Technol., vol. 72, no. 6, 2023.
  19. A. Alizadeh, M. Vu, and T. S. Rappaport, “A study of interference distributions in millimeter wave cellular networks,” in Proc. IEEE COMCAS, Tel Aviv, Israel, 2019.
  20. Z. Marzi and U. Madhow, “Interference management and capacity analysis for mm-wave picocells in urban canyons,” IEEE J. Sel. Areas Commun., vol. 37, no. 12, 2019.
  21. P. Paul, H. Wu, and C. Xin, “BOOST: A user association and scheduling framework for beamforming mmwave networks,” IEEE Trans. Mobile Comput., vol. 20, no. 10, 2021.
  22. Y. Li et al., “Radio resource management considerations for 5G millimeter wave backhaul and access networks,” IEEE Commun. Mag., vol. 55, no. 6, 2017.
  23. Q. Xue, X. Fang, M. Xiao, and L. Yan, “Multiuser millimeter wave communications with nonorthogonal beams,” IEEE Trans. Veh. Technol., vol. 66, no. 7, 2017.
  24. G. Kwon, N. Kim, and H. Park, “Millimeter wave SDMA with limited feedback: RF-only beamforming can outperform hybrid beamforming,” IEEE Trans. Veh. Technol., vol. 68, no. 2, 2019.
  25. A. Alizadeh and M. Vu, “Load balancing user association in millimeter wave MIMO networks,” IEEE Trans. Wireless Commun, vol. 18, no. 6, 2019.
  26. A. Ichkov, P. Mähönen, and L. Simić, “Interference-aware user association and beam pair link allocation in mm-wave cellular networks,” in Proc. IEEE WCNC, Glasgow, Mar. 2023.
  27. A. Ichkov, P. Mähönen, and L. Simić, “Is ray-tracing viable for millimeter-wave networking studies?” in Proc. IEEE PIMRC, London, UK, Sep. 2020.
  28. A. Schott, A. Ichkov, P. Mähönen, and L. Simić, “Measurement validation of ray-tracing propagation modeling for mm-wave networking studies: How detailed is detailed enough?” in Proc. EuCAP, Florence, Italy, Mar. 2023.
  29. “Study on channel model for frequencies from 0.5 to 100 GHz (3GPP),” 3GPP, TR 38.901 V14.3.0, 2017.
  30. O. E. Ayach et al., “Spatially sparse precoding in millimeter wave MIMO systems,” IEEE Trans. Wireless Commun., vol. 13, no. 3, 2014.
  31. H. Zhao et al., “28 GHz millimeter wave cellular communication measurements for reflection and penetration loss in and around buildings in New York city,” in Proc. IEEE ICC, Budapest, Hungary, Jun. 2013.
  32. R. Peng and Y. Tian, “Robust wide-beam analog beamforming with inaccurate channel angular information,” IEEE Commun. Lett., vol. 22, 2018.
  33. “5G; NR; Physical layer procedures for data,” 3GPP, TR 38.214 version 16.0.2 Release 16, Jul. 2020.
  34. Q. Ziao and Y. Haifan, “A review of codebooks for CSI feedback in 5G new radio and beyond,” Preprint, arXiv, 2023. [Online]. Available: https://arxiv.org/pdf/2302.09222.pdf
  35. E. Onggosanusi et al., “Modular and high-resolution channel state information and beam management for 5G new radio,” IEEE Commun. Mag., vol. 56, no. 3, 2018.
  36. H. Elgendi et al., “Interference measurement methods in 5G NR: Principles and performance,” in Proc. IEEE ISWCS, Oulu, Finland, Aug. 2019.

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